A Virtual Reality Environment for Genomic Data Visualization

描述（由申请人提供）：该项目将开发一种新的虚拟现实显示环境，用于可视化来自基因组实验的多通道、多维数据。基因组学和DNA微阵列的出现彻底改变了研究的状况。研究人员现在必须筛选大量的实验数据，以发现基因组之间的关系。因此，需要新的数据可视化工具来支持现代科学。我们的方法是将联合收割机统计数据投影与虚拟现实（VR）显示技术灵活地结合起来，将N维数据（3=N）投影到M维（3=M=10），并在三维虚拟空间中显示给研究者。所提出的系统的一个独特的功能是，它将提供调查员选择的数据投影技术，包括主成分分析（PCA），线性判别分析（LDA），奇异值分解（SVD），多维缩放（MDS），投影寻踪（PP），自组织映射（SOM），独立成分分析（伊卡），和其他。数据将显示为漂浮在空间中的图标对象，其大小、形状、颜色、纹理、位置、方向和旋转都不同。在第一阶段研究中，虚拟现实显示器将作为基于工作站的飞行环境来实现。第一阶段项目的目的是清楚地展示基于VR的数据可视化工具在基因组数据分析中的价值。如果第一阶段成功，第二阶段将开发和评估VR漫游沉浸式环境。由此产生的商业硬件/软件包将大大改善科学数据的可视化和解释，以协助基因组学、蛋白质组学和生物信息学研究人员以及模式识别系统开发人员解释其极其复杂的实验数据。由此产生的商业硬件/软件包将大大改善科学数据的可视化和解释，以协助基因组学、蛋白质组学和生物信息学研究人员以及模式识别系统开发人员解释其极其复杂的实验数据。这一发展所带来的初级保健惠益将来自疾病诊断和治疗的加速发展。

DESCRIPTION (provided by applicant): This project will develop a new virtual reality display environment for visualization of multi-channel, multi- dimensional data from genomic experiments. The advent of genomics and DNA micro arrays has changed the situation in research drastically. Researchers now must sift through reams of experimental data to detect relationships among groups of genes. Therefore, new data visualization tools are required to support modern science. Our approach is to combine statistical data projection with virtual reality (VR) display technology in a flexible way that projects N-dimensional data (3=N) to M dimensions (3=M=10), and displays it to the investigator in a 3-D virtual space. A unique feature of the proposed system is that it will provide the investigator the option to select among a number of data projection techniques, including principal component analysis (PCA), linear discriminant analysis (LDA), singular value decomposition (SVD), multi-dimensional scaling (MDS), projection pursuit (PP), self-organizing maps (SOMs), independent component analysis (ICA), and others. Data will be displayed as iconic objects floating in space that differ in size, shape, color, texture, position, orientation and spin. The VR display will be implemented as a workstation-based fly-through environment in this Phase I study. The aim of the Phase I project is to demonstrate clearly the value of VR- based data visualization tools in genomic data analysis. If Phase I is successful, a VR walk-through immersive environment will be developed and evaluated in Phase II. The resulting commercial hardware/software package will provide significantly improved scientific data visualization and interpretation to assist genomics, proteomics and bioinformatics researchers, and pattern recognition system developers in the interpretation of their overwhelmingly complex experimental data. The resulting commercial hardware/software package will provide significantly improved scientific data visualization and interpretation to assist genomics, proteomics and bioinformatics researchers, and pattern recognition system developers in the interpretation of their overwhelmingly complex experimental data. The primary healthcare benefits that will accrue from this development will result from the accelerated development of diagnostics and treatments for diseases.